Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIT.2006.372576
Title: Transition classification and performance analysis: A study on industrial hydro-cracker
Authors: Ng, Y.S. 
Yu, W.
Srinivasan, R. 
Keywords: Classification
State-identification
Transition performance analysis
Issue Date: 2006
Source: Ng, Y.S.,Yu, W.,Srinivasan, R. (2006). Transition classification and performance analysis: A study on industrial hydro-cracker. Proceedings of the IEEE International Conference on Industrial Technology : 1338-1343. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIT.2006.372576
Abstract: The process industries have increasingly focused on the domain of agile manufacturing to increase their competitiveness globally. Agile plants operate in a number of modes and frequently switch between them. The process of mode switching is termed as process transition. This paper seeks to optimize transition operations by developing a methodology to identify and classify different types of transitions from continuous production data. Traditional data analysis methods perform poorly on multi-state temporal signals, so, a new method based on principal component analysis is proposed for transition classification. By analyzing previous plant operating data, different instances of a transition can be identified. Good operating strategies are then extracted by comparing the instances. A self-organizing map based method is also proposed for visualization of process transitions. We illustrate the proposed transitions classification and performance analysis methods by application to a refinery hydro-cracker.
Source Title: Proceedings of the IEEE International Conference on Industrial Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/74794
ISBN: 1424407265
DOI: 10.1109/ICIT.2006.372576
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